Research & Analysis
Competitor Research Agent with Exa and Notion
Find similar companies with Exa, research each one with three AI agents and compile the report into a Notion database.
Starts on: Run manually
NotionOpenAI
Research & Analysis
Customer Feedback Sentiment Classifier
Collect customer feedback through a form, classify its sentiment with OpenAI and log it in Google Sheets.
The Problem
Feedback forms produce a pile of text that nobody tags, so negative feedback sits unread next to praise.
How This Template Solves It
A small business shares a feedback form. Each submission is classified by sentiment and saved with the original answers to a Google Sheet, so the team can filter for unhappy customers.
How It Works
- 1A form collects customer feedback.
- 2OpenAI classifies the sentiment of the feedback text.
- 3Merges the form answers with the result.
- 4Adds a row to Google Sheets.
What You Need
- An OpenAI API key
- A Google Sheet, such as a copy of the author's example
What Stays Under Your Control
- Someone follows up with customers who left negative feedback.
Watch Out For
- Spell out the sentiment labels you want in the prompt so results stay consistent.
Adapted from a community workflow template. Before publishing we removed credentials, account and file IDs, email addresses and sample data. The original author's setup notes are kept inside the workflow file.
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